Numerical investigation of the response of expansion anchors used to attach helical pile connectors to concrete foundations
Bibliographic record
Abstract
This paper evaluates the performance of expansion anchors used to attach helical pile connectors to foundations. The anchors’ response to pullout loads was evaluated using nonlinear finite element analysis with the aid of the commercial software, Abaqus. The connector capacity under horizontal movement of the foundation for different anchor diameters, embedment depths, and anchors’ spacing is reported. It was found that the pre-tension load had no influence on the anchor ultimate capacity, but affected the anchor response at service load levels and the displacement at failure. Under pullout loading, increasing the anchor diameter resulted in a more brittle response, but did not affect the ultimate capacity when the concrete tensile strength dominated the response. No interaction between anchors was observed for spacing ≥ 1.67 times the anchor’s embedment depth. A modification to the helical pile connector configuration is proposed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".